Results 21 to 30 of about 30,779 (289)
Sarcasm detection on Twitter [PDF]
, 2016 State-of-the-art approaches for sarcasm detection in social media combine lexical clues with contextual information surrounding the potentially sarcastic posting including author information.
Lyu, Hao
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Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform
Complexity, 2021 With the development of the digital economy, the emerging marketing strategy of the e-commerce flash sales has been changing the traditional purchasing habits of customers. This imposes new decision-making challenges for companies involved in flash sales.
Mingyang Zhang, Yixin Wang, Zhiguo Wu
doaj +1 more source
A syntax-injected approach for faster and more accurate sentiment analysis [PDF]
PeerJ Computer ScienceSentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content.
Muhammad Imran +2 more
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Analyzing the User's Sentiments of ChatGPT Using Twitter Data
Iraqi Journal for Computer Science and Mathematics, 2023 ChatGPT, an advanced language model based on artificial intelligence developed by the OpenAI, was released to internet users on November 30, 2022, and has attracted a great deal of attention.
ADEM KORKMAZ, CEMAL AKTÜRK, TARIK TALAN
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Sentiment Analyzing by Dictionary based Approach
International Journal of Computer Applications, 2016 Sentiment analysis has emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to withdrawal of lines or phrase in the unprocessed and immense data which express an opinion. Sentiment analysis further recognizes the polarity of the viewpoint being extricated.
Rekha Bhatia, Fatehjeet Kaur
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Social media analysis during political turbulence.
PLoS ONE, 2017 Today, a considerable proportion of the public political discourse on nationwide elections proceeds in Online Social Networks. Through analyzing this content, we can discover the major themes that prevailed during the discussion, investigate the temporal
Despoina Antonakaki +5 more
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Sentiment Polarity Analysis based multi-dictionary
Physics Procedia, 2011 AbstractThis paper presents a novel algorithm for Chinese online reviews, which identifies sentiment polarity. To determine the sentence is negative or positive, we extracted opinion words and identified their opinion targets by CRFs and establish the absolute emotional dictionary (AbED), the relative emotional dictionary (ReED), the field of emotional
Jiao, Jian, Zhou, Yanquan
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Graph-Based Lexical Sentiment Propagation Algorithm
MathematicsIn the rapidly developing field of sentiment analysis, it is a challenge to create sentiment dictionaries with broad coverage, especially for languages with limited resources. To address this problem, we propose innovative methodologies that automate the
Tajana Ban Kirigin +2 more
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Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches
Frontiers in Big Data, 2022 Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the “gold standard” of human-coded ...
Stefan Munnes +7 more
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A model for providing emotion awareness and feedback using fuzzy logic in online learning [PDF]
, 2016 Monitoring users’ emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students’ attention as well as to improve memory and reasoning.
Arguedas, Marta +5 more
core +2 more sources